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ADAPT: a predictive cognitive model of user visual attention and action planning
1Department of Psychology, Mississippi State University, Mississippi State, MS 39762, USA. sdoane@ra.msstate.edu
User Modeling and User-Adapted Interaction
|August 24, 2002
Summary
A new computational model, ADAPT, accurately predicts aviation pilot actions and visual attention in flight simulations. This model
Area of Science:
- Cognitive science
- Human-computer interaction
- Aviation psychology
Background:
- Pilot action planning is crucial for flight safety.
- Understanding expertise differences in pilots is vital for training.
- Simulated environments offer controlled conditions for studying pilot behavior.
Purpose of the Study:
- To develop and validate a computational cognitive model (ADAPT) of aviation pilot action planning.
- To assess the model's ability to predict pilot performance based on expertise.
- To explore implications for adaptive pilot training systems.
Main Methods:
- A computational cognitive model named ADAPT was developed.
- 25 human pilots performed flight maneuvers in a simulator.
- Eye fixations and control movements were recorded and compared to model predictions.
Main Results:
- ADAPT accurately predicted a significant portion of pilot visual attention and control movements.
- Model performance correlated with piloting expertise.
- Rigorous validation confirmed the model's predictive validity.
Conclusions:
- The ADAPT model effectively captures cognitive processes in pilot action planning.
- Expertise significantly influences pilot visual attention and control.
- Findings support the development of adaptive training systems for pilots.
